We’re seeking a future team member for the role of
Senior Vice President, Data Architect
to join our PAYMENTS ENABLEMENT ENGINEERING team. This role is located in Pune.
- In this role, you’ll make an impact in the following ways:
- Lead the design of enterprise data architecture, including conceptual, logical, and physical data models
- Define scalable architecture patterns for data ingestion, transformation, storage, integration, and distribution
- Build and optimize enterprise data pipelines to support reporting, analytics, finance, risk, regulatory, and operational use cases
- Establish and enforce standards for data governance, metadata, lineage, data quality, and security
- Design and implement cloud-based data solutions using any of the tools/technologies like Hadoop, Snowflake, Azure, and other modern data platforms
- Collaborate with business, product, engineering, and operations teams to translate business requirements into effective technical solutions
- Support analytics and business intelligence initiatives by enabling trusted and governed data products
- Lead architecture reviews, technical design discussions, and solution approvals across enterprise programs
- Ensure adherence to architecture standards, regulatory expectations, and enterprise compliance requirements
- Drive best practices for resilience, scalability, performance tuning, and operational support
- Provide technical leadership and mentorship to engineering and architecture teams across programs and initiatives
- To be successful in this role, we’re seeking the following:
- 18+ years of experience in data architecture, data engineering, enterprise data platforms, or related technology roles
- Bachelor’s degree or higher in Computer Science, Engineering, Information Systems, or a related discipline
- Strong experience in enterprise data architecture and data modeling, including conceptual, logical, and physical models
- Strong working experience in RDBMS like Oracle, Postgres as well as No SQL databases like Mongo etc
- Strong working experience in Snowflake and Hadoop ecosystem etc
- Hands-on experience with Data Warehousing, Data Lake, and modern enterprise data platform concepts
- Hands-on experience and understanding of AI , Data Mesh etc
- Strong expertise in ETL/ELT architecture, pipeline design, and data integration patterns
- Strong proficiency in SQL and Python
- Hands-on experience with Snowflake and modern cloud-based data architecture
- Experience with DBT, Airflow and/or similar ETL/integration tools such as Informatica or Pentaho
- Good working knowledge of On Prem as well as public cloud platforms
- Strong understanding of Data Governance, Metadata Management, Data Lineage, Master Data Management (MDM), and Data Quality frameworks
- Experience implementing security, compliance, and control requirements within enterprise data solutions
- Experience with Agile , CI/CD, DevOps practices, and orchestration frameworks in support of data platform delivery
- Strong stakeholder management, communication, and problem-solving skills
- Ability to lead architecture discussions, influence decisions, and work across cross-functional teams
- Strong understanding of Payments or financial services / banking domain, including risk, finance, and regulatory reporting data needs
Good to Have
- Experience with Power BI or similar analytics / visualization platforms
- Experience with reference data and enterprise data management frameworks
- Prior experience in banking, capital markets, or large regulated enterprises
- Experience leading large-scale cloud migration or data modernization programs
- Experience supporting architecture review boards or design authority forums
- Familiarity with enterprise reporting, client data, and operational data product use cases
- Experience mentoring teams and providing strategic technical leadership across multiple workstreams
